package com.jinke.api.modules.app.controller;

import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
import com.google.gson.Gson;
import com.jinke.api.common.util.CommonUtil;
import com.jinke.api.common.util.FedexRateTool;
import com.jinke.api.component.MessageHint;
import com.jinke.api.modules.app.config.TASMSService;
import com.jinke.api.modules.app.model.FindZoneResult;
import com.jinke.api.modules.app.model.Order;
import com.jinke.api.modules.app.model.OrderParcel;
import com.jinke.api.modules.app.service.FindZoneResultService;
import com.jinke.api.modules.app.service.OrderService;
import com.jinke.api.modules.app.util.OssUtil;
import com.jinke.api.modules.third.easypost.util.EasypostUtil;
import com.jinke.api.modules.third.ezeeship.model.request.EstimateRateRequest;
import com.jinke.api.modules.third.shippo.tool.ShippoRequest;
import com.jinke.api.modules.third.sjgj.util.SjgjwlUtil;
import com.jinke.api.modules.ums.model.Channel;
import com.jinke.api.modules.ums.service.ChannelService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;

import javax.annotation.Resource;
import java.util.*;
import java.util.stream.Collectors;

/**
 * 短解入口
 */
@RequestMapping("/shortcut")
@RestController
public class ShortcutController {
    @Resource
    private OssUtil ossUtil;
    @Resource
    private FedexRateTool fedexRateTool;
    @Resource
    private SjgjwlUtil sjgjwlUtil;
    @Resource
    private EasypostUtil easypostUtil;
    @Resource
    private ShippoRequest shippoRequest;
    @Autowired
    private ChannelService channelService;
    @Resource
    private OrderService userOrderService;
    @Resource
    private FindZoneResultService findZoneResultService;
    @Resource
    private TASMSService tasmsService;

    @Resource
    private RedisTemplate<String, String> redisTemplate;
    @Autowired
    private OrderService orderService;
    @Resource
    private MessageHint messageHint;


    /**
     * 模拟查询17track，让17track可以回传物流状态过来，先执行这个再执行7天统计的
     * @param userId
     * @return
     */
    @RequestMapping(value = "mock", method = RequestMethod.GET)
    public String mock(String day1,String day2,Integer user)  {
        //获取塔城人员
        List<Integer> userId ;
        if (user!=null){
            userId =new ArrayList<>();
            userId.add(user);
        }else {
            userId=CommonUtil.getTachengUsers();
        }        //组装时间条件
        String startDay = "2024-09-"+day1+" 00:00:00";
        String endDay = "2024-09-"+day2+" 23:59:59";
        orderService.mock(userId, startDay, endDay);
        return "执行完毕";
    }

    /**
     * 查真假物流轨迹
     * @param param
     * @return
     */
    @RequestMapping(value = "qucha", method = RequestMethod.GET)
    public String qucha(String day1,String day2)  {
        //获取塔城人员
        List<Integer> userId = CommonUtil.getTachengUsers();
        //组装时间条件
        String startDay = "2024-09-"+day1+" 00:00:00";
        String endDay = "2024-09-"+day2+" 23:59:59";
        //查有物流轨迹的物流信息
        List<OrderParcel> orderParcels = orderService.selectUserOrderParcels(startDay, endDay, userId);
        //查真假物流轨迹
        orderService.logistoryRealOrNot(orderParcels);
        return "发送完毕";
    }



    /**
     * 手动触发7天物流轨迹统计的邮件
     * @param userId
     * @return
     */
    @RequestMapping(value = "/7day", method = RequestMethod.GET)
    public String summaryNoLogisteray(String day1,String day2,Integer user)   {
        //组装时间条件
        String startDay = "2024-"+day1+" 00:00:00";
        String endDay = "2024-"+day2+" 23:59:59";
        List<Integer> userId ;
if (user!=null){
    userId =new ArrayList<>();
    userId.add(303);
}else {
    userId=CommonUtil.getTachengUsers();
}

        //orderService.mock(userId, startDay, endDay);
        //单独发塔城的
        orderService.onlyTAcheng(userId, startDay, endDay);
        return "发送完毕";
    }




    @RequestMapping(value = "/tuibaoxian", method = RequestMethod.GET)
    public String ins(String phoneNum) {

        Gson gson = new Gson();


        easypostUtil.cancelLabel("shp_674fa35919484c359f58d9a2ac63993d","0906");
        return "发送完毕";
    }
    @RequestMapping(value = "/gjh", method = RequestMethod.GET)
    public String gjh(String phoneNum) {
        String message = messageHint.getMessage("order.batch.import.sender.isBlank");
        return "发送完毕"+message;
    }
    @RequestMapping(value = "/qx", method = RequestMethod.GET)
    public String qx(String phoneNum) {
        sjgjwlUtil.cancelLabel("111","22");
        return "发送完毕";
    }
    @RequestMapping(value = "/ad", method = RequestMethod.GET)
    public String sendad(String phoneNum) {
        //阿里发短信
        //boolean b = SmsUtil.sendSms(phoneNum, "123654");
        //澳塔发短信
        tasmsService.sendADSms(phoneNum);
        return "发送完毕";
    }

    @RequestMapping(value = "/pdf", method = RequestMethod.GET)
    public String pdf(Integer userId) {
        String objectId="a898f51d66a811efbc5d5d2b9aa7575e";
        String pdf = ossUtil.upload("pdf", objectId + ".pdf", "https://ezeeship.com/api/ezeeship/label/printLabel?objectId=a898f51d66a811efbc5d5d2b9aa7575e");

        // 上传到oss
//        String labelContent
//                = 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";
//
//        String newLabelUrl = ossUtil.uploadBase64("pdf", "test", labelContent);
        return pdf;
    }

    /**
     * 根据缓存key的前缀删除缓存
     * @param prefix
     * @return
     */
    @RequestMapping(value = "/delRedis", method = RequestMethod.GET)
    public String delRedis(String prefix) {

        Set<String> keys = redisTemplate.keys(prefix + "*");
        if (keys!= null &&!keys.isEmpty()) {
            List<String> keyList = new ArrayList<>(keys);
            redisTemplate.delete(keyList);
        }
        return "删除"+keys.size()+"条:"+keys;
    }


    @RequestMapping(value = "/xd", method = RequestMethod.GET)
    public String xd(Integer userId) {

        EstimateRateRequest dto = new EstimateRateRequest();
        EstimateRateRequest dto1 = new EstimateRateRequest();
        dto.setOrderNO("ceshido");

        dto1.setOrderNO("TEST-STATIC");
        shippoRequest.createLabel(dto1,"","");

        sjgjwlUtil.createOrder(dto, "3");
        return "";
    }

    /**
     * 从历史订单中找到环洋的各种邮编查询后记录在邮编表中
     *
     * @return
     */
    @RequestMapping(value = "/find", method = RequestMethod.GET)
    public String find() {
        LambdaQueryWrapper<Channel> channelLambdaQueryWrapper = new LambdaQueryWrapper<>();
        channelLambdaQueryWrapper.eq(Channel::getChannelPlatformId, 10);
        List<Channel> list = channelService.list(channelLambdaQueryWrapper);
        Set<Integer> collect = list.stream().map(Channel::getId).collect(Collectors.toSet());
        LambdaUpdateWrapper<Order> q = new LambdaUpdateWrapper<>();
        q.in(Order::getChannelId, collect);
        List<Order> list1 = userOrderService.list(q);

        List<FindZoneResult> all = findZoneResultService.findAll();
        Set<String> alrea = new HashSet<>();
        for (FindZoneResult findZoneResult : all) {
            alrea.add(findZoneResult.getFromZipCode() + "-" + findZoneResult.getToZipCode());

        }

        Set<String> zip = new HashSet<>();
        for (Order order : list1) {
            if (order.getToZipCode().length() == 5 && order.getFromZipCode().length() == 5) {
                String e = order.getFromZipCode() + "-" + order.getToZipCode();
                if (!alrea.contains(e)) {
                    zip.add(e);
                }
            }
        }
        for (String s : zip) {
            String[] split = s.split("-");
            fedexRateTool.getZone(split[0], split[1], 3);
        }
        return zip.size() + "";
    }

    /**
     * 本地连线上库，postman执行更新所有为空的zone
     *
     * @return
     */
    @RequestMapping(value = "/localhostFindZone", method = RequestMethod.GET)
    public String localhostFindZone() {
        //查询空的
        List<FindZoneResult> all = findZoneResultService.findEmpty();
        Set<String> alrea = new HashSet<>();
        for (FindZoneResult findZoneResult : all) {
            alrea.add(findZoneResult.getFromZipCode() + "-" + findZoneResult.getToZipCode());

        }


        for (String s : alrea) {
            String[] split = s.split("-");
            try {
                fedexRateTool.getZone(split[0], split[1], 3);

            }catch (Exception e){

            }
        }
        return alrea.size() + "";
    }

    @RequestMapping(value = "/mackup", method = RequestMethod.GET)
    public String mackup() {


        List<FindZoneResult> all = findZoneResultService.findEmpty();


        for (FindZoneResult s : all) {
            fedexRateTool.getZone(s.getFromZipCode(), s.getToZipCode(), 3);
        }
        return all.size() + "";
    }


    @RequestMapping(value = "/repeat", method = RequestMethod.GET)
    public String repeat() {
        List<Order> order = userOrderService.list(new LambdaQueryWrapper<Order>()

                        .eq(Order::getUserId, 63)
                        .gt(Order::getCreatedAt, "2024-06-01 00:00:00")
                        .lt(Order::getCreatedAt, "2024-06-30 23:59:59")
                        .and(w -> {
                            w.eq(Order::getStatus, 1).or().eq(Order::getStatus, 2);
                        })
                //.last("limit 1000")
        );
        List<String> orderno = order.stream().map(Order::getOrderNo).collect(Collectors.toList());

        groupSimilarStrings(orderno);
        return order.size() + "";
    }

    public static void groupSimilarStrings(List<String> inputList) {
        Map<String, List<String>> groupedMap = new HashMap<>();

        for (String str : inputList) {
            String key = str.split("_")[0];
            if (!groupedMap.containsKey(key)) {
                groupedMap.put(key, new ArrayList<>());
            }
            groupedMap.get(key).add(str);
        }
        List<String> valuea = new ArrayList<>();
        List<String> keylist = new ArrayList<>();

        for (Map.Entry<String, List<String>> entry : groupedMap.entrySet()) {
            List<String> value = entry.getValue();
            if (value.size() > 1) {
                valuea.addAll(value);
                valuea.add(entry.getKey());
                System.err.println(entry.getKey() + ": " + value);
            }
        }

        System.out.println(valuea);
        System.out.println("原始的" + keylist);
    }

    public static void main(String[] args) {
        List<String> input = new ArrayList<>();
        input.add("ARB2448565");
        input.add("ARB2448565_1243");
        input.add("ARB2448879");
        input.add("ARB2448993");
        input.add("ARB2449392");
        input.add("ARB2449482");
        groupSimilarStrings(input);
    }
}
